Group – Statistical Metrology Group

Chih-Yu (Andrew) Lai

Chih-Yu joined the group in January 2022 and is pursuing a Ph.D. degree in EECS at MIT. He received his B.S. (2017) and M.S. (2019) degrees in biomechatronics engineering from National Taiwan University. He worked in TSMC as a standard cell layout engineer prior to attending MIT. His interests include interdisciplinary subjects related to quantitative modeling, design automation and machine learning applied to microsystems and bioelectronics technology. (https://chihyulai.com/)

Uttara Chakraborty

Uttara is pursuing a PhD in EECS at MIT. She received her SB (2017) in EE and in physics, and her SM (2019) in EECS, both from MIT. Her current research interests include the modeling and statistical characterization of integrated photonic devices and systems.

Zhengqi Gao

Zhengqi Gao joined the group in September 2021 and is pursuing the Ph.D. degree in EECS at MIT. He received his B.E. and M.S. in microelectronics engineering from Fudan University in 2018 and 2021, respectively. His current research interests lie mainly in design automation for photonic integrated circuits (PICs) and machine learning.

Rachel Owens

Rachel joined the group in September 2022 and is pursuing the S.M. and Ph.D. degrees in EECS at MIT. She received her B.S. (2020) in EE from University of the Pacific before working as an electrical engineer at Raytheon Technologies. Her current research interests are primarily in the area of machine learning for semiconductor manufacturing.

Fan-Keng Sun

Fan-Keng joined the group in September 2019 and is pursuing the S.M. and Ph.D. degrees in EECS at MIT. He received his B.S. majoring in EE and minoring in CS from National Taiwan University in 2019. His interests include machine learning and deep learning for time series and sequence modeling.

Zhengxing Zhang

Zhengxing Zhang joined the group in October 2017, and is pursuing his Ph.D. degree in EECS at MIT. His current research focuses on modeling and measurement of manufacturing process variation in silicon photonics by implementing efficient numerical methods. He received his B.S. in physics from Peking University in 2017.